Hiring: Lead Data Scientist Company: Netspend Location: Austin, Texas Metropolitan Area Job Posted Time: 2026-09-16 18:05:56 Target Skills & Keywords : AWS, CI/CD, Databricks, GCP, Keras, MLOps, Machine Learning, Product Management, PyTorch, Python, R, SQL, SageMaker, TensorFlow, XGBoost About the job Experience: •8 years of related professional experience with a Bachelor's degree; OR 6 years of experience with a Master's degree; OR a PhD with 3 years of experience. Required Skills: •Advanced Modeling & Architecture: Lead the end-to-end design, development, training, and deployment of complex, highly scalable machine learning models and AI solutions that address critical business priorities. •Technical Leadership: Serve as the principal technical lead on significant data science projects. Determine the analytical methods, techniques, and evaluation criteria required to achieve successful project outcomes. •Complex Problem Solving: Tackle highly complex, multi-variable data issues. Apply in-depth professional knowledge and creative problem-solving techniques to uncover deep insights from massive, disparate datasets. •Mentorship & Coordination: Act as a technical mentor and team lead for junior to mid-level data scientists (P1-P3). Coordinate the activities of other analytical personnel to ensure project milestones are met while maintaining high-quality code and modeling standards. •Cross-Functional Networking: Build networks and collaborate deeply with key contacts outside your immediate area of expertise, including senior leaders in Data Engineering, Product Management, and Business Operations, to drive the adoption of data science solutions. •Strategic Evaluation: Continuously evaluate the company’s data capabilities and emerging AI/ML technologies. Recommend innovative tools and algorithmic approaches to keep the organization at the forefront of the industry. •Insight Communication: Synthesize and present complex analytical findings to non-technical executive stakeholders, clearly articulating the business value and strategic implications of predictive models. Qualifications: •Technical Skills: * Expert-level proficiency in Python or R, and advanced SQL capabilities. •Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost). •Extensive experience deploying models into production environments using cloud platforms (e.g., AWS SageMaker, GCP, Databricks). •In-depth knowledge of MLOps, CI/CD pipelines, and version control. •Knowledge & Application: Exhibits advanced experience and in-depth professional knowledge to resolve complex models and operational procedures. Works creatively and effectively to solve complex issues. •Complexity & Problem Solving: Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises independent judgment in selecting methods, techniques, and evaluation criteria for obtaining optimal results. •Collaboration & Interaction: Determines methods and procedures on new assignments and coordinates the activities of other personnel (acts as a Team Lead). Networks collaboratively with key contacts outside their own area of expertise to drive broad business impact. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!